People
Meet the CLiMB Lab team
Principal Investigator
Cory Shain
Assistant Professor
I study human language processing and its relationship to brain function.
CVJames H. Clark Center, Room W100A , 318 Campus Drive , Stanford, CA 94305
Postdocs
Yuhan Zhang, PhD
Postdoctoral Researcher
My research aims to answer how meaning arises in the mind given the inherent complexity in language, cognitive constraints in the processor, and uncertainty in the environment. I leverage toolkits in linguistic theory, Bayesian probability, cognitive neuroscience, and machine learning to establish a coherent theory. I obtained a PhD degree in psycholinguistics from Harvard University with intensive training at MIT.
Research Staff
Erxiao Wang
Research Coordinator
My research interest centered on speech and language processing in human brain and how to apply brain imaging techniques in the field of cogntive neuroscience. She hopes to explore both computational and implementation level of langauge processing in the future research.
Graduate Students
Selena She
Rotating Graduate Student
I am interested in how humans and machines understand and communicate, both within their own systems and with one another. To study this, I use tools from neuroscience and artificial intelligence, including hyperscanning fMRI and neural network–based communicative agents. I am also interested in developing methods from natural language processing to identify and improve cognitive interpretability in complex systems.
Undergraduate Students
Stephanie Cho
Undergraduate Student
I’m currently researching differences in predictability effects between humans and large language models. My particular interests lie in language acquisition, natural language processing, and philosophy of language. As a Symbolic Systems major, I study the intersections of linguistics, computer science, philosophy, and psychology.
Seiji Yang
Undergraduate Student
I am an undergraduate student double majoring in mathematics and art. I hope to apply methods in topology and combinatorial optimization to work with fMRI datasets, specifically to study cortical surface geometry and apply graph-based techniques to identify functional brain networks.